GIS and Big data integration.

Emerging Big data in GIS

The innovations in Big Data and GIS has created lot of new opportunities into the market.  Spatial Big Data is becoming prevalent  forr both raster and vector data.This includes raster data  satellite imagery, climate simulation, multiple and coordinated drone imaging system and vector data including Taxi data of Uber, geo-located twitter data, gps data.

Case studies for merging BIG Data Analytics with GIS

The solution WP consulting came up with combined cutting edge technology with real world practicality. Everyone knew that the systems had to be updated, the real challenge was updating them without disrupting the whole organization in a negative way. The solution was to introduce proper workload management done through computers, while providing mobile platforms to the stakeholders.

This allowed the workers to be involved in the job instead of feeling like they had been made redundant by technology.

Challenge

There are many opportunities in integrating GIS and Big data.Big data analysis and its visualization tools boosters the capacity of GIS, especially in graphics and visual demonstration.The big data production process consists of data collection, storage, computing & batching, analysis, and visualization & demonstration.

  • Use Big Data and GIS for Business Intelligence

    One of the most common uses for GIS in the banking industry has been in determining which branches to consolidate. The insurance  sector also  integrates GIS and big data to make decisions like on analysis of  claims data, prediction of calamities e.g. flood, drought to access customer payouts in agriculture sector e.t.c.

  • Determine the right inventory level:

    The teams focused their efforts on a few of the highest-value S&OP levers in order to review the current planning process, identify gaps in the planning infrastructure and analytically understand demand and supply variability.

  • Optimize the supply chain for perfect order planning:

    The diagnostic determined the stressors that affected sales and service levels. The teams focused on resolving issues related to higher-than-normal back-orders and lead times, which stressed the entire supply chain and led to delays in medications reaching consumers.

The biggest challenge was that Arguzo was not utilizing technology properly. Too much of the work was still being recorded manually, which meant that the numbers took a long time to note down and then to be analyzed. Live data was also not available and decisions can only be made after all the required data and been received. This was holding Arguzo back; they knew they could corner more of the market if they had the ability to be more mobile. The work addressed three critical issues for Pharm Ltd.:

Solution

There are many opportunities in integrating GIS and Big data.Big data analysis and its visualization tools boosters the capacity of GIS, especially in graphics and visual demonstration.The big data production process consists of data collection, storage, computing & batching, analysis, and visualization & demonstration.

  • Improve sales and operations and production planning:

    The teams focused their efforts on a few of the highest-value S&OP levers in order to review the current planning process, identify gaps in the planning infrastructure and analytically understand demand and supply variability.

  • Optimize the supply chain for perfect order planning:

    The diagnostic determined the stressors that affected sales and service levels. The teams focused on resolving issues related to higher-than-normal back-orders and lead times, which stressed the entire supply chain and led to delays in medications reaching consumers.
  • Determine the right inventory level:

    The teams focused their efforts on a few of the highest-value S&OP levers in order to review the current planning process, identify gaps in the planning infrastructure and analytically understand demand and supply variability.

  • Optimize the supply chain for perfect order planning:

    The diagnostic determined the stressors that affected sales and service levels. The teams focused on resolving issues related to higher-than-normal back-orders and lead times, which stressed the entire supply chain and led to delays in medications reaching consumers.

The biggest challenge was that Arguzo was not utilizing technology properly. Too much of the work was still being recorded manually, which meant that the numbers took a long time to note down and then to be analyzed. Live data was also not available and decisions can only be made after all the required data and been received. This was holding Arguzo back; they knew they could corner more of the market if they had the ability to be more mobile. The work addressed three critical issues for Pharm Ltd.:

Result

The biggest challenge was that Arguzo was not utilizing technology properly. Too much of the work was still being recorded manually, which meant that the numbers took a long time to note down and then to be analyzed. Live data was also not available and decisions can only be made after all the required data and been received. This was holding Arguzo back; they knew they could corner more of the market if they had the ability to be more mobile. The work addressed three critical issues for Pharm Ltd.:

  • Improve sales and operations and production planning:

    The teams focused their efforts on a few of the highest-value S&OP levers in order to review the current planning process, identify gaps in the planning infrastructure and analytically understand demand and supply variability.

  • Optimize the supply chain for perfect order planning:

    The diagnostic determined the stressors that affected sales and service levels. The teams focused on resolving issues related to higher-than-normal back-orders and lead times, which stressed the entire supply chain and led to delays in medications reaching consumers.
  • Determine the right inventory level:

    The teams focused their efforts on a few of the highest-value S&OP levers in order to review the current planning process, identify gaps in the planning infrastructure and analytically understand demand and supply variability.

  • Optimize the supply chain for perfect order planning:

    The diagnostic determined the stressors that affected sales and service levels. The teams focused on resolving issues related to higher-than-normal back-orders and lead times, which stressed the entire supply chain and led to delays in medications reaching consumers.

The biggest challenge was that Arguzo was not utilizing technology properly. Too much of the work was still being recorded manually, which meant that the numbers took a long time to note down and then to be analyzed. Live data was also not available and decisions can only be made after all the required data and been received. This was holding Arguzo back; they knew they could corner more of the market if they had the ability to be more mobile. The work addressed three critical issues for Pharm Ltd.: